The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 24, 2023

Filed:

Apr. 20, 2017
Applicant:

The Fourth Paradigm (Beijing) Tech CO Ltd, Beijing, CN;

Inventors:

Yang Bai, Beijing, CN;

Yuqiang Chen, Beijing, CN;

Wenyuan Dai, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2006.01); G06N 5/04 (2006.01); G06Q 10/06 (2012.01); G06Q 10/04 (2012.01); G06N 5/00 (2006.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06N 3/08 (2013.01); G06N 5/003 (2013.01); G06N 5/045 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/067 (2013.01); G06N 20/10 (2019.01);
Abstract

A method and device for presenting a prediction model, and a method and device for adjusting a prediction model. The method for presenting a prediction model includes: obtaining at least one prediction result of a prediction model for at least one prediction sample; obtaining at least one decision-making tree training sample for training a decision-making tree model according to the at least one prediction sample and the at least one prediction result, the decision-making tree model being used for fitting the prediction model; training the decision-making tree model by using at least one decision-making tree training sample; and visually presenting the trained decision-making tree model. By means of the method, a prediction model hard to understand can be approximated to a decision-making tree model, and the approximated decision-making tree model is presented, so that a user better understands the prediction model according to the presented decision-making tree model.


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